Triple
T22972114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cable Street |
E571215
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | St George in the East |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: St George in the East | Statement: [Cable Street, hasSection, St George in the East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St George in the East Context triple: [Cable Street, hasSection, St George in the East]
-
A.
St George-in-the-East
chosen
St George-in-the-East is a Baroque Anglican church in London, renowned as one of Nicholas Hawksmoor’s distinctive early 18th-century churches.
-
B.
St George Church
St George Church is a historic Christian church and notable religious landmark located in the town of Kyustendil, Bulgaria.
-
C.
Saint George's
Saint George's is the capital city of Grenada, known for its picturesque harbor, colorful hillside homes, and role as the island’s main commercial and cultural center.
-
D.
Saint George’s
Saint George’s is a locale known as one of the places where Adèle Hugo, the daughter of French writer Victor Hugo, once lived.
-
E.
St George's
St George's is a specialist medical university in London renowned for its focus on medicine, health sciences, and biomedical research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823370fc819084a13d6e4eb6e44e |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.